The newly formed Massachusetts Consortium on Pathogen Readiness aims to address both the immediate and long-term implications of the coronavirus crisis. The effort, led by Harvard Medical School, will work to stem the tide of COVID-19 but, more importantly, to lay the groundwork for dealing with future pandemics.

Study led by Harvard researchers finds that a long-term trial of a capped-payment system encouraged preventative care and discouraged unnecessary spending

Hours of medical residents were capped at 80 per week in 2003 after a string of patient injuries and deaths, spurring fears that doctors-in-training would be less prepared for independent practice than before. A new study suggests their warnings were largely unjustified.

Scientists uncover a key mechanism that allows some of the deadliest human RNA viruses to replicate, and it resides in the tail end of the viruses. The findings identify new targets to inhibit viral replication and may inform the development of a new class of antiviral drugs.

A Harvard undergrad, working with Harvard Medical School scientists, has designed an artificial intelligence model that predicts tuberculosis resistance to 10 most commonly used drugs. The new model outperforms previous machine-learning tools, and incorporating it into clinical tests could dramatically enhance early detection and prompt treatment of drug-resistant TB.

New computer program uses artificial intelligence to determine what visual neurons like to see. The approach could shed light on learning disabilities, autism spectrum disorders, and other neurologic conditions.